Personalization for Customers

The company has asked you to integrate certain AI and machine learning features into their new online shopping platform.

You can think about all the AI features like Recommendation engine, Chatbot, Intelligent searches, etc.

But the most important one is PERSONALIZATION.

Or else that’s the only thing you have to do, the rest all happens along with this.

Customer Experience is the most potential attribute of a company. What the customers need is something unique and different from all other platforms. Customer experience, or CX, is your customers’ overall impression of their interaction with your company or brand. CX is the sum of a customer’s interactions with your company, from surfing the website to speaking with customer service to receiving the product or service they purchased Everything you do has an impact on your customers’ perceptions and their decision to return or not, therefore providing a positive customer experience is critical to your success.

The very best example of Personalization is the Netflix Platform. This remains different for each and every user, My Netflix home page is going to be completely different from yours. It depends on what I see and search.

This same concept can be integrated into Online shopping Platforms. The home pages can be personalized.

The first personalization can be made based on gender.

It’s a normal feeling that all these online shopping platforms are completely female-oriented.

We don’t want that here!

Guys don’t want to see all the cute dresses, tunics, and tops on their home screen unless they search for it.

So a personalization based on gender is the first basic thing.

Imagine if the company focuses only on women customers, which is 48% of the whole country (India), and gets revenue of nearly 100 crores daily.

Then the remaining 52 % can really increase the revenue in good amounts.

Personalization also involves knowing the customer, predicting the customer size before they buy the product. This is a really good innovative implementation by Myntra.

Few platforms also have another feature of mentioning the name of the person from whom you are buying things for. It can be for yourself or maybe for your friends on their special day.

Based on this mention, it can be saved as useful data where the engine could recommend you to buy another gift for your friend next year. You get reminded every year.

Remember, last-minute rush during every event at your home or your friends. This is very common. Even though you purchase all your clothes, shoes, heels and all, there will be something missing. So what about a calendar on your favorite shopping site. You could mark all the important dates and give notes, mentioning the events, the color of the dress you are planning for, etc. Thus the engine could start recommending dresses and all the materials required and also the engine itself checks whether it gets delivered before the event. Things will get easier if everything gets automated.

It’s really hard and takes time to purchase dresses for your friends on your special occasion. Especially during your bridal shower or farewell party where your girl gang can style in a specific theme. Online shopping platforms can bring something new: a Bridal shower combo dress, a theme for a Cocktail party, bachelorette party, etc, or even for traditional Haldi and Mehendi nights.

Personalized discounts for customers are a common thing which really makes them closer to shopping. Still, there are people who haven’t started binge shopping, reviews and pictures under each post make them confident to buy which is necessary for every shopping app.

I think more than advertisements, what really reaches into customers is the social media accounts handled by these shopping sites. Interesting posts, innovative technologies used, introducing the team, interns, posting office pictures all make the customers feel good. Yesterday a post by a PR Intern at Asos which is an online shopping platform, the post was a small video that showed the interior of the office where she worked and all the beautiful decor, fashion closet, lunch, and coffee she had at the company. This video is getting viral. The comment section is all about “How to get a job at Asos”. People are getting a comfortable feeling when they watch the video. All these small things help in marketing the company.

It’s the customers who should advertise your products.

Analyzing the wishlist items helps to understand what the customer really likes. Providing offers to wishlist items makes the customers happy.

More than an intelligent chatbot, what the customers need in an online shopping platform is a designer. Asking whether this dress is gonna suit me or asking for another pair that matches with the cloth or better shoes, heels, etc. An automated outfit generation with deep learning helps the designer chatbot to provide better suggestions.

The hardest part of shopping is to know whether this dress suits me or not. Thus these platforms can build a 3D model which has the same size as the user, the user can enter the size details manually. This makes the customer happy and confident enough to buy the dress.

Every Action has an equal and opposite reaction

Every technical action at the backend of the shopping platforms increases sales. Each and every action that we take forward can create a positive impact on customers.

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